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Improved bounds on sorting by length-weighted reversals

  • Stanford University
  • Chinese University of Hong Kong
  • Stony Brook University
  • Technion-Israel Institute of Technology

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

We study the problem of sorting binary sequences and permutations by length-weighted reversals. We consider a wide class of cost functions, namely f (ℓ) = ℓα for all α ≥ 0, where ℓ is the length of the reversed subsequence. We present tight or nearly tight upper and lower bounds on the worst-case cost of sorting by reversals. Then we develop algorithms to approximate the optimal cost to sort a given input. Furthermore, we give polynomial-time algorithms to determine the optimal reversal sequence for a restricted but interesting class of sequences and cost functions. Our results have direct application in computational biology to the field of comparative genomics.

Original languageEnglish
Pages (from-to)744-774
Number of pages31
JournalJournal of Computer and System Sciences
Volume74
Issue number5
DOIs
StatePublished - Aug 2008

Keywords

  • Dynamic programming
  • Modeling genome rearrangements
  • Potential functions
  • Sorting 0/1 sequences by reversals
  • Sorting by reversals

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